# 學生對 加州大学圣克鲁兹分校 提供的 Bayesian Statistics: From Concept to Data Analysis 的評價和反饋

4.6
2,439 個評分
644 條評論

## 課程概述

This course introduces the Bayesian approach to statistics, starting with the concept of probability and moving to the analysis of data. We will learn about the philosophy of the Bayesian approach as well as how to implement it for common types of data. We will compare the Bayesian approach to the more commonly-taught Frequentist approach, and see some of the benefits of the Bayesian approach. In particular, the Bayesian approach allows for better accounting of uncertainty, results that have more intuitive and interpretable meaning, and more explicit statements of assumptions. This course combines lecture videos, computer demonstrations, readings, exercises, and discussion boards to create an active learning experience. For computing, you have the choice of using Microsoft Excel or the open-source, freely available statistical package R, with equivalent content for both options. The lectures provide some of the basic mathematical development as well as explanations of philosophy and interpretation. Completion of this course will give you an understanding of the concepts of the Bayesian approach, understanding the key differences between Bayesian and Frequentist approaches, and the ability to do basic data analyses....

## 熱門審閱

GS

Sep 01, 2017

Good intro to Bayesian Statistics. Covers the basic concepts. Workload is reasonable and quizzes/exercises are helpful. Could include more exercises and additional backgroung/future reading materials.

JH

Jun 27, 2018

Great course. The content moves at a nice pace and the videos are really good to follow. The Quizzes are also set at a good level. You can't pass this course unless you have understood the material.

## 526 - Bayesian Statistics: From Concept to Data Analysis 的 550 個評論（共 634 個）

Feb 04, 2018

As a graduate student pursuing Machine Learning, this was a great course for me to get introduced to Bayesian Models.

Jul 02, 2018

Well explained and articulated. You can apply it straight to your work problems. I really enjoyed doing the course.

Jun 21, 2020

Excellent introductory course. Some of the concepts in the later part of the course are not explained well though.

Jul 03, 2019

Overall great course, the last part (linear regression) seems somewhat disconnected from the rest of the course.

Jan 01, 2018

I can learn the concept, but need to understand the details well in other ways. eg. reading, or searching online

Aug 28, 2017

Very helpfull course. I will use the principles taugh for other topics like machine learning. Thans for sharing.

Mar 10, 2017

The course is excellent to learn all the basic stuff needed to master the technique of Bayesian Data Analysis.

Jun 25, 2020

More assignments and live and truncky examples applying the principles would make course even more wonderful

Dec 03, 2016

I wish the last week were more explanatory. Although overall now I do have an idea. It's a good course. :-)

Aug 04, 2020

Could do with more exercises.

However, I found some elsewhere on the internet, so that was complementary

Jul 30, 2020

Pretty good introductory material overall. Only disappointing part was the section on linear regression.

Sep 30, 2018

Very nice introductory course, practical and to the point. Good starting point for more detailed courses

Jan 11, 2018

A little hurry in the normal distribution part, otherwise a great course for Bayesian introduction.

Mar 07, 2019

a little bit difficult, I think you need to hold a solide background toward inferential statistics

May 16, 2018

I expected more examples to be solved or at least it could be provided as supplementary materials

Jan 03, 2020

The course is good but requires a lot of homework if you are rusty on probability/statistics...

Nov 11, 2017

Very Useful

It was little difficult to understand what the professor , but anyway it was good.

Apr 08, 2017

Steep learning curve. really taxed my thinking capacity. I enjoyed it thoroughly!

Nov 12, 2016

A very good course which enlights me the study of bayesian statistics, thank you.

Nov 17, 2016

Unfortunately I could not finish the course in due time. But it is very useful.

Feb 22, 2018

Good course , but contains some challenging material .Thank you Professor L

Feb 23, 2017

Good course, but in my opinion misses of lectures/pdf to ease understanding.

Mar 16, 2020

Useful lessons but too many calculations without explanatory applications

Jun 29, 2018

It was a nice introduction course. Not too heavy. I really enjoyed it.

Feb 28, 2017

I could say , it is the best bayesian stat I ever experience till now.